The OWASP Top 10 for Large Language Model Applications project aims to educate developers, designers, architects, managers, and organizations about potential security risks when deploying and managing Large Language Models (LLMs) and Generative AI applications.
Key features include:
- OWASP Top 10 List: Highlights the most critical vulnerabilities in LLM applications, focusing on impact, exploitability, and prevalence.
- Vulnerability Examples: Covers prompt injections, data leakage, inadequate sandboxing, and unauthorized code execution.
- Remediation Strategies: Suggests strategies to improve the security posture of LLM applications.
- Resources: Provides security and governance checklist, deepfake guides, and AI security solutions directory.
Use cases:
- Developers: Understand and mitigate vulnerabilities during LLM application development.
- Security Professionals: Assess and improve the security of LLM-based systems.
- Organizations: Manage risks associated with deploying and managing LLMs.
